考虑风险偏好的虚拟电厂优化运行方法研究

Study on Optimal Operation Method of Virtual Power Plant by Considering Risk Preference

针对传统电厂运行风险较大、输出功率较低的问题,采用高效液相色谱法(HPLC)将不同色谱标记风险等级,采用自动标识方式减轻人工压力,使设备运行更容易识别。利用广度优先遍历算法(BFS)将电厂不同状态设定函数体系,计算出虚拟电厂运行节点风险值,为控制室提供数据支撑。试验表明,设计虚拟电厂风险优化系统电厂电压最高达到50 kV,运行功率最高为184 kW,算法测算的设备风险裕度为3.0%,大大提高了优化能力。

In view of the relatively high operating risks and low output power of traditional power plants,this paper uses high performance liquid chromatography(HPLC)to mark the risk levels of different chromatograms,and uses automatic identification methods to reduce manual pressure and make equipment operation easy to identify.The breadth first search(BFS)is used to set the function system for dfferent states of the power plant,calculate the risk value of the virtual power plant operating node,and provide data support for the control room.Experiments show that the virtual power plant risk optimization system has a power plant voltage of up to 50 kV,an operating power of up to 184 kW,and an equipment risk margin of 3.0%calculated by the algorithm,which greatly improves the optimization capability.